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<table width="100%" summary="page for coleman"><tr><td>coleman</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Coleman Data Set</h2>

<h3>Description</h3>

<p>Contains information on 20 Schools from the Mid-Atlantic and New
England States, drawn from a population studied by Coleman et
al. (1966). Mosteller and Tukey (1977) analyze this sample consisting
of measurements on six different variables, one of which will be
treated as a responce.
</p>


<h3>Usage</h3>

<pre>data(coleman, package="robustbase")</pre>


<h3>Format</h3>

<p>A data frame with 20 observations on the following 6 variables.
</p>

<dl>
<dt><code>salaryP</code></dt><dd><p>staff salaries per pupil</p>
</dd>
<dt><code>fatherWc</code></dt><dd><p>percent of white-collar fathers</p>
</dd>
<dt><code>sstatus</code></dt><dd><p>socioeconomic status composite deviation: means for
family size, family intactness, father's education, mother's
education, and home items</p>
</dd>
<dt><code>teacherSc</code></dt><dd><p>mean teacher's verbal test score</p>
</dd>
<dt><code>motherLev</code></dt><dd><p>mean mother's educational level, one unit is equal
to two school years</p>
</dd>
<dt><code>Y</code></dt><dd><p>verbal mean test score (y, all sixth graders)</p>
</dd>
</dl>



<h3>Author(s)</h3>

<p>Valentin Todorov</p>


<h3>Source</h3>

<p>P. J. Rousseeuw and A. M. Leroy (1987)
<em>Robust Regression and Outlier Detection</em> Wiley, p.79, table 2.
</p>


<h3>Examples</h3>

<pre>
data(coleman)
pairs(coleman)
summary( lm.coleman &lt;-     lm(Y ~ . , data = coleman))
summary(lts.coleman &lt;- ltsReg(Y ~ . , data = coleman))

coleman.x &lt;- data.matrix(coleman[, 1:6])
(Cc &lt;- covMcd(coleman.x))
</pre>


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